POSSIBILITIES OF ARTIFICIAL INTELLIGENCE IN TEACHING HIGHER MATHEMATICS

N. Apatova, A. I. Gaponov, O. Smirnova
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Abstract

The example of application of methods of computer representation of knowledge to the «Matrix» of the higher mathematics course, the authors examine the possibility of using elements of artificial intelligence, but do not propose an exhaustive algorithm for the construction of relevant systems, and based on the known thesis: «intellectual tasks no formal solution algorithm». Moreover, we implicitly proceed from the concept that when solving problems that require the participation of human intelligence, artificial intelligence can be only an auxiliary tool. Analysis of Russian and English sources has led to the conclusion that automated the process of proving mathematical theorems with the use of artificial intelligence (including neural networks) leads first-year students does not lead first-year students to the natural goal of teaching higher mathematics – » to teach logical reasoning. Usually the result comes down to «programmed» using the keyboard that, in certain circumstances, of course, is a very useful skill. But, unfortunately, the task «to teach the student to think, to reason logically and think outside the box», based on modern level of development of artificial intelligence (machine learning), according to the authors, is not yet resolved. Using the same knowledge base in an adequate format, and semantic networks allow at least allow you to at least get closer to the possibility of using artificial intelligence in the proof of theorems of higher mathematics. Because properly constructed semantic network will greatly assist as a teacher is in presenting the proof of the theorem, and demonstrate to the students a well-known logical connections and, we hope, will interest them in creating a new one. The above arguments determine the purpose of the proposed study is to build semantic networks for proof of mathematical theorems, and to solve the so-called «proof-based» tasks. In our opinion, the results of this study will not only contribute to streamlining the structure by the teacher and better understanding by students of the relevant sections of mathematics, but few will bring the solution of the problem of formation of artificial intelligence, based on the decision of «evidence-based» tasks of higher mathematics.
人工智能在高等数学教学中的可能性
在高等数学课程的“矩阵”中应用计算机表示知识的方法的例子中,作者检查了使用人工智能元素的可能性,但没有提出一个详尽的算法来构建相关系统,并基于已知的论文:“智力任务没有正式解决算法”。此外,我们隐含地从这样一个概念出发,即在解决需要人类智能参与的问题时,人工智能只能是一个辅助工具。对俄语和英语资料的分析得出的结论是,使用人工智能(包括神经网络)自动证明数学定理的过程会使一年级学生无法达到教授高等数学的自然目标——“教授逻辑推理”。通常结果归结为使用键盘的“编程”,当然,在某些情况下,这是一项非常有用的技能。但是,不幸的是,根据作者的说法,基于人工智能(机器学习)的现代发展水平,“教学生思考,逻辑推理和跳出框框思考”的任务尚未解决。以适当的格式使用相同的知识库和语义网络至少可以让你更接近于在高等数学定理的证明中使用人工智能的可能性。因为正确构建的语义网络将极大地帮助教师提出定理的证明,并向学生展示一个众所周知的逻辑联系,我们希望,将引起他们的兴趣,创造一个新的逻辑联系。上述论点决定了提出的研究的目的是建立语义网络来证明数学定理,并解决所谓的“基于证明”的任务。在我们看来,这项研究的结果不仅有助于精简教师的结构和学生对数学相关部分的更好理解,而且很少会带来基于高等数学“循证”任务决策的人工智能形成问题的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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